Raschild Research / Orbital Compute
Orbital Compute is the phrase. Space data centers are one possible form.
Orbital Compute is Raschild's research track for processing, routing, storing, and governing data in Earth-space infrastructure. It connects Super Intelligence, satellite networks, solar power, data centers, simulations, and enterprise systems into one long-range technology thesis.
Research architecture
Orbital Compute needs layers, not hype.
What workloads could move to orbit, what should stay terrestrial, and how SI systems might split processing across Earth, edge, and space.
Solar availability, storage, thermal strategy, lifecycle cost, launch energy, and realistic comparisons against Earth-based data centers.
Ground stations, satellite links, cloud regions, edge devices, redundancy, latency, bandwidth, and secure routing.
Cybersecurity, jurisdiction, export controls, insurance, orbital debris, privacy, environmental tradeoffs, and public trust.
How Super Intelligence infrastructure could use orbital compute for space-native systems, simulations, research, monitoring, and resilient operations.
Dashboards, research briefs, education, investor narratives, enterprise pilots, and terrestrial prototypes Raschild can build before hardware.
Roadmap
How Raschild can own the term credibly.
- v0.1 · Publish the thesis — Define orbital compute, cite public research, identify unknowns, and keep claims clearly bounded.
- v0.2 · Model the system — Create diagrams for Earth-space compute flow, latency paths, energy assumptions, and governance risks.
- v0.3 · Prototype the interface — Build dashboards, simulations, partner briefs, and research intake workflows for enterprise conversations.
- v1.0 · Seek partners — Only pursue hardware, aerospace, legal, energy, or data-center implementation with qualified partners and proper review.
Research intake